{"id":"W2287978267","doi":"10.1108/md-12-2014-0667","title":"Spillover effects of marketing expertise on market performance of domestic firms and MNEs in emerging markets","year":2016,"lang":"en","type":"article","venue":"Management Decision","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multinational corporation; Spillover effect; Business; Domestic market; Loyalty; Market share; Marketing; Emerging markets; Value (mathematics); Nonmarket forces; Market share analysis; Factor market; Originality; Industrial organization; Economics; Market microstructure; Order (exchange); Market economy; International trade; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001813111,0.0002263016,0.0003944871,0.0007830615,0.000624143,0.001399574,0.0002634098,0.0005658846,0.006160756],"category_scores_gemma":[0.006237025,0.0001215786,0.0003256314,0.0003913139,0.0007605731,0.001108128,0.001953037,0.0007518998,0.0002948421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009976722,"about_ca_system_score_gemma":0.0006829388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003576192,"about_ca_topic_score_gemma":0.005124592,"domain_scores_codex":[0.9991519,0.0003176267,0.00002917258,0.0001380968,0.000138394,0.000224723],"domain_scores_gemma":[0.9891382,0.004806118,0.003194297,0.0005591301,0.0006571189,0.001645099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009270002,0.002625251,0.9360747,0.0001230258,0.0002496794,0.0009986399,0.002961667,0.002348297,0.005079423,0.00299162,0.0004972459,0.04512344],"study_design_scores_gemma":[0.00003585841,0.0006886247,0.9898534,0.00003618918,0.0001015333,0.00008528496,0.004399436,0.002076245,0.001337289,0.0008113933,0.0005551597,0.000019615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971937,0.0000787055,0.00009509554,0.0000749064,0.00000243773,0.000009886405,0.00001720148,0.00000229942,0.002525597],"genre_scores_gemma":[0.9996228,0.00004247067,0.00004354759,0.00001770615,0.000004570262,0.000003174949,0.00001269821,3.667687e-7,0.0002525701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006160756,"threshold_uncertainty_score":0.0206098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005194478786521601,"score_gpt":0.2185299199471278,"score_spread":0.2133354411606062,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}